The inquiry into the moral status of artificial intelligence (AI) is leading to prolific theoretical discussions. A new entity that does not share the material substrate of human beings begins to show signs of a number of properties that are nuclear to the understanding of moral agency. It makes us wonder whether the properties we associate with moral status need to be revised or whether the new artificial entities deserve to enter within the circle of moral consideration. This raises the (...) foreboding that we are at the gates of an anthropological crisis: the properties bound to moral agency have been exclusively possessed in the past by human beings and have shaped the very definition of being human. In this article, I will argue that AI does not lead us to an anthropological crisis and that, if we adhere to the history and philosophy of technology, we will notice that the debate on the moral status of AI uncritically starts from an anthropology of properties and loses sight of the relational dimension of technology. First, I will articulate three criteria for analyzing different anthropological views in philosophy of technology. Second, I will propose six anthropological models: traditional, industrial, phenomenological, postphenomenological, symmetrical, and cyborg. Third, I will show how the emergence of AI breaks with the dynamics of increased relationality in the history and philosophy of technology. I will argue that this aspect is central to debates about the moral status of AI, since it sheds light on an aspect of moral consideration that has been obscured. Finally, I will reject entirely relational approaches to moral status and propose two hybrid possibilities for rethinking it. (shrink)

Since the practice turn, the role technologies play in the production of scientific knowledge has become a prominent topic in science studies. Much existing scholarship, however, either limits technology to merely mechanical instrumentation or uses the term for a wide variety of items. This article argues that technologies in scientific practice can be understood as a result of past scientific knowledge becoming sedimented in materials, like model organisms, synthetic reagents or mechanical instruments, through the routine use of these materials in (...) subsequent research practice. The proposed theoretical interpretation of technology is examined through a case where a model organism—Drosophila melanogaster—acted as a technology for investigating a contested biological effect of a mechanical instrument: Hermann J. Muller’s experiments on X-ray mutagenicity in the 1920s. The article reconstructs how Muller employed two syntheticDrosophilastocks as tests for measuring X-rays’ capacity to cause genetic aberration. It argues that past scientific knowledge sedimented in theDrosophilastocks influenced Muller’s perception of X-ray-induced mutation. It further describes how Muller’s concept of X-ray mutagenicity sedimented through the adoption of X-ray machines as a ready-made resource for producing mutants by other geneticists, for instance George Beadle and Edward Tatum in their experiments onNeurospora crassa, despite ongoing disputes surrounding Muller’s conclusions. Technological sedimentation is proposed as a potential explanation why sedimentation and disputation may often coexist in the history of science. (shrink)

During the second half of the twentieth century, several philosophers of technology argued that their predecessors had reflected too abstractly and pessimistically on technology. In the view of these critics, one should study technologies empirically in order to fully understand them. They developed several strategies to empirically inform the philosophy of technology and called their new approach the empirical turn. However, they provide insufficient indications of what exactly is meant by empirical study in their work. This leads to the critical (...) question of what counts as an empirically informed philosophy of technology in the empirical turn. In order to answer this question, we first elaborate on the problems that the empirical turn philosophers tried to address; secondly, we sketch their solutions, and, thirdly, we critically discuss their conceptions of empirical study. Our critical analysis of the empirical turn contributes to new efforts to engage in an empirically informed philosophy of technology. (shrink)

This paper aims to show that to think of the artificial means to think at the same time of man, nature, culture and society not as separate entities but as elements of one and the same system; since, in its field of action, the artificial articulates its component dimensions, which altogether are natural, human, cultural and social. Usually we call artificial both the procedure through which we project the realisation of something and the product of our project: the realisation of (...) the artefact. The artefact incorporates, in the physical and inanimate dimensions of nature, those dimensions which are proper to the producer. When the artificial imitates and reproduces certain aspects of nature, its action is directed towards achieving an improvement in man's life. In this perspective, we think that the artificial cannot be viewed as a factor external to man and man's social life. (shrink)

Unlike basic sciences, scientific research in advanced technologies aims to explain, predict, and (mathematically) describe not phenomena in nature, but phenomena in technological artefacts, thereby producing knowledge that is utilized in technological design. This article first explains why the covering-law view of applying science is inadequate for characterizing this research practice. Instead, the covering-law approach and causal explanation are integrated in this practice. Ludwig Prandtl's approach to concrete fluid flows is used as an example of scientific research in the engineering (...) sciences. A methodology of distinguishing between regions in space and/or phases in time that show distinct physical behaviours is specific to this research practice. Accordingly, two types of models specific to the engineering sciences are introduced. The diagrammatic model represents the causal explanation of physical behaviour in distinct spatial regions or time phases; the nomo-mathematical model represents the phenomenon in terms of a set of mathematically formulated laws. (shrink)

Despite the many turns that philosophy of technology has undergone in recent decades, the question of the nature and limits of technological determinism (TD) has been neglected, because it was considered as solved and overcome, and therefore not worth further discussion. This paper once again raises the problem of TD, by trying to save the opposing, but complementary elements of truth of the two main forms of TD that I shall call “nomological” and “normative”: (a) technology is all-pervasive and has (...) an inexorable capacity for extending itself into every field of human life, and (b) we have a capacity to counteract and orient technology, at least in some measure. In order to reconcile these seemingly inconsistent claims, the key move for my argument is a brief analysis of the notion of scientific experiment from the perspective of the distinction between the context of discovery and the context of justification. As a result, two senses of technology are distinguished, which I shall call respectively “reflective” and “methodological.” From the point of view of this distinction, the all-pervasiveness and inexorability of technology and the in principle irreducibility of human persons to technology—which nomological and normative TD assert dialectically one against the other—can be reconciled. Among other things, this requires the rejection (in one fundamental sense) of the widely held assumption, made both by nomological and normative TD, that technology is a cultural field whose contents can be neatly separated from the rest of human culture. This thesis should be replaced by the more qualified claim of the reflective unity and the methodological multiplicity of technology. (shrink)

In this paper, the different theories about science and technology relationships are analyzed. All of them have some virtues, but also one main defect: these theories do not take into account other well-founded possible relationships. The origin of this problem is the narrow view about science and technology. In this paper another characterization about technology based on Ronald Giere’s perspective is suggested. In the light of this new description, six different relationships between science and technology arise. Some of these relations (...) had been explained in the before analyzed theories, but others emerge from the new portrayal. (shrink)

This paper is a review of words and their meanings in the field of technology studies, and an analysis the semantics of an idealistic international technology-related social movement that flourished briefly during the second half of the twentieth century. Sloppy nomenclature employed by proponents and observers of the movement led to people with opposite views appearing to agree (and vice versa), with the consequence that the movement’s valuable policy insights exerted only marginal influence on mainstream technology policy. I conclude that (...) poor technological semantics may undermine effective technological practice. Suggestions for a constructive technological nomenclature are presented. (shrink)

Engineering is often said to be ‘scientific’, but the nature of knowledge in engineering is different to science. Engineering has a different ontological basis—its theories address different entities and are judged by different criteria. In this paper I use Popper’s three worlds ontological framework to propose a model of engineering theories, and provide an abstract logical view of engineering theories analogous to the deductive-nomological view of scientific theories. These models frame three key elements from definitions of engineering: requirements, designs of (...) artefacts, and theories for reasoning about how artefacts will meet requirements. In a subsequent paper I use this ontological basis to explore methodological issues in the growth of engineering knowledge from the perspective of critical rationalism. (shrink)

This article reports on the development and teaching of compulsory courses on ethics and engineering at Delft University of Technology (DUT). Attention is paid to the teaching goals, the educational setup and methods, the contents of the courses, involvement of staff from engineering schools, experiences to date, and challenges for the future. The choices made with respect to the development and teaching of the courses are placed within the European and Dutch context and are compared and contrasted with the American (...) situation and experiences. (shrink)

This paper argues that both technological determinism (the development of technology is uniquely determined by internal laws) and technological voluntarism (technological change can be externally directed and regulated by the wants and free choice of human beings) are one‐sided and partly mistaken. The determinists are right in the sense that technology has a power to influence our values and behaviour, and thereby appear to direct ‘technological imperatives’ to us. However, such commands are always conditional on some value premises; the voluntarists (...) are thus right in pointing out that we need not obey such imperatives. The principle ‘Can implies Ought’ (all technological possibilities should be realized) is therefore invalid. (shrink)